/**
 * Copyright 2012 Brigham Young University
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package edu.byu.nlp.stats;


import edu.byu.nlp.util.DoubleArrays;

/**
 * @author rah67
 *
 */
public class DirichletTestUtils {
	
	private DirichletTestUtils() { }

	/**
	 * Returns a 3 x 3 matrix of log probability vectors.
	 */
	public static double[][] sampleDataset() {
		double[][] sampleData = new double[][] { { 0.7, 0.2, 0.1 },
												 { 0.3, 0.4, 0.3 },
												 { 0.6, 0.3, 0.1 } };
		for (int i = 0; i < sampleData.length; i++) {
			DoubleArrays.logToSelf(sampleData[i]);
		}
		return sampleData;
	}
	
}
